Digital recognition method and digital recognition system for traffic lights

A traffic signal and digital recognition technology, which is applied in the field of vehicles, can solve the problems of countdown digital recognition difficulty, misrecognition, and unbalanced data collected by digital recognition, and achieves easy training and convergence, simple recognition process, and reduced network size and parameter quantity. Effect

Pending Publication Date: 2021-07-09
ZHEJIANG GEELY HLDG GRP CO LTD +1
View PDF15 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Another purpose of the first aspect of the present invention is to solve the problem of difficult or misidentified recognition of the countdown numbers of traffic lights by methods based on deep learning in the prior art
[0010] One purpose of

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Digital recognition method and digital recognition system for traffic lights
  • Digital recognition method and digital recognition system for traffic lights
  • Digital recognition method and digital recognition system for traffic lights

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0061] figure 1 It is a schematic flow chart of a digital recognition method according to a traffic signal of the present invention. Here, this embodiment provides a communication signal digital identification method, which may include:

[0062] Step S10, the image or video of the traffic signal is acquired;

[0063] Step S20, the shape of the traffic light in the image or video according to the image or video identification of the traffic light;

[0064] Step S30, select the pre-established recognition model according to the shape of the traffic light;

[0065] Step S40, perform data pretreatment on the image or video based on the selected identification model to obtain an image or video that is pre-treated;

[0066] Step S50, the pre-processed image or video input into the diameter number in the traffic light in the identification model.

[0067] In this embodiment, step S10 may be an image or video of an environment in which the camera is installed in advance in advance. In th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a traffic signal lamp number identification method and system, and relates to the technical field of vehicle automatic driving. The traffic signal lamp digital recognition method comprises the following steps: acquiring an image or a video of a traffic signal lamp; identifying the shape of the traffic signal lamp in the image or video according to the image or video of the traffic signal lamp; selecting a pre-established identification model according to the shape of the traffic signal lamp; performing data preprocessing on the image or the video according to the identification model; and inputting the preprocessed image or video into a recognition model to recognize countdown numbers in the traffic lights. According to the traffic signal lamp number identification method, the identification process can be simple, countdown number identification of the traffic signal lamp is accurate, safe and stable driving of an automatic driving vehicle is guaranteed, and serious consequences of traffic accidents caused by sudden braking, red light running and the like of the automatic driving vehicle are prevented.

Description

technical field [0001] The invention relates to the technical field of vehicles, in particular to a traffic signal lamp digital recognition method and a digital recognition system. Background technique [0002] Autonomous driving technology is currently a hot topic in the automotive industry. According to the classification of autonomous driving in SAE, autonomous driving is currently divided into six levels: L0-L5. Among them, L0 refers to vehicles without any automatic driving functions, and L1-L2 automatic driving. Driving is still essentially a driver assistance system (ADAS). L3 autonomous driving can be called a quasi-autonomous driving system, and L4-L5 autonomous driving can be considered a truly meaningful autonomous driving system. [0003] Traditional L1-L2 self-driving vehicles mainly use the vehicle's own sensors (forward-facing radar, forward-looking camera, ultrasonic radar, GPS, IMU, wheel speed sensor, etc.) to realize assisted driving functions in simple sc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/584G06V20/63G06V10/44G06V10/56G06V2201/02G06N3/045G06F18/24Y02B20/40
Inventor 王猛应思琦张立志邓堃李健
Owner ZHEJIANG GEELY HLDG GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products